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Case Interview Questions: 6 Case Interview Types (With Worked Solutions)

The 6 case interview question types in consulting interviews, with worked solutions, exhibit practice, quant walkthroughs, and drills for MBB prep.

Every consulting case interview draws from six question types — clarifying, structure, prioritization, exhibit, quantitative, and recommendation — and candidates who master the pattern for each type pass at roughly 2x the rate of those who memorize individual answers. Interviewers score how you think under uncertainty, not whether you recall a specific framework.

This article covers each type with worked solutions and the reasoning that separates strong answers from average ones. For full end-to-end case walkthroughs, see the 12 worked case interview examples. For the broader prep strategy, start with how to practice case interviews.

Checklist

Question-response checklist for live cases

  • Clarify objective in 20 seconds

    Prevents solving the wrong problem.

  • Structure before analysis

    Signals top-down thinking early.

  • Prioritize one branch

    Shows judgment, not memorization.

  • Close with recommendation

    Converts analysis into decision quality.

The 6 Case Interview Types and Question Patterns

Framework

Case Interview Question Flow

  1. 01

    1. Clarify

    Confirm objective, scope, and constraints (2-4 questions)

  2. 02

    2. Structure

    Lay out MECE framework tied to the objective

  3. 03

    3. Prioritize

    Pick the highest-impact branch and explain why

  4. 04

    4. Interpret data

    Read an exhibit, state the headline, explain the implication

  5. 05

    5. Calculate

    Set up formula, compute cleanly, sanity-check

  6. 06

    6. Recommend

    Synthesize into recommendation, risk, and next step


Question Type 1: Clarifying Questions in Case Interviews

What the interviewer is testing: Can you identify the right problem before solving it? Candidates who skip clarification often spend 10 minutes solving a problem the interviewer never asked.

Examples:

  • "Can I confirm the objective is profit growth, not just revenue growth?"
  • "What time horizon should I use for this decision?"
  • "Are we optimizing for speed, margin, or market share?"
  • "Is this a company-wide issue or specific to one segment?"

The pattern: Ask 2 to 4 focused questions that confirm the objective, scope, timeline, and key constraints. Then transition to structure.

Worked Solution

Prompt: "Your client is a mid-size European retailer. They want your help with their strategy."

Weak response: "Is it B2B or B2C? How many stores? What countries? What's their revenue? What products do they sell? Online or offline? Who are their competitors?" (7 questions, unfocused, burning 2+ minutes)

Strong response: "First, when you say 'strategy,' is the primary objective revenue growth, profit improvement, or market entry? Second, what time horizon — 12 months or 3-to-5 years? Third, any major constraints like limited capital or regulatory issues?"

Why this works: Three questions, each with a purpose: objective (prevents solving the wrong problem), scope (different timeframes require different structures), and deal-breakers (surfaced early). Enough to build a case-specific framework.


Question Type 2: Structure Questions

What the interviewer is testing: Can you break a messy business problem into organized, non-overlapping pieces? This is the most heavily weighted question type at McKinsey, BCG, and Bain.

Example prompt: "How would you approach this problem?"

The pattern:

  1. State a top-level framework tied to the objective (not a generic textbook framework).
  2. Name 2 to 4 branches, each MECE (mutually exclusive, collectively exhaustive).
  3. Prioritize where you would start and why.

Worked Solution

Prompt: "A national coffee chain's profit has declined 15% year-over-year despite opening 50 new stores. How would you approach this?"

Strong response: "The objective is diagnosing and reversing a 15% profit decline. I would structure this around three areas. First, revenue: did same-store sales decline, or is the revenue mix shifting toward lower-margin products or lower-traffic locations? The 50 new stores add revenue, so if total profit is still down, same-store performance may be deteriorating. Second, costs: I would break this into variable costs per store, like labor and COGS, and fixed costs that scaled with expansion, like lease commitments and new-store buildout amortization. Third, the expansion itself: are the new stores cannibalizing existing locations, or are they in markets with different unit economics? I would start with the revenue branch, because the store count grew but profit declined, which suggests a per-unit revenue or margin problem."

Why this works: Custom-built for this situation — directly addresses the tension in the prompt (profit declined despite growth). The prioritization has a specific logical reason, not just "revenue is important." For more, see the profitability framework and MECE principle explained.


Question Type 3: Prioritization Questions

What the interviewer is testing: Judgment. Can you pick the most important path and defend that choice, rather than listing everything and asking the interviewer to choose?

Examples:

  • "Where would you focus first?"
  • "Which hypothesis is most likely?"
  • "If you could only investigate one of these, which would it be?"

The pattern:

  • Lead with one priority branch.
  • Give one data-backed or logic-backed reason.
  • Mention one secondary branch as a cross-check.

Worked Solution

Prompt: You have laid out a framework for diagnosing declining customer retention at a SaaS company. Your branches are: product quality, pricing, customer service, and competitive alternatives. The interviewer asks: "Which would you focus on first?"

Strong response: "I would start with product quality, specifically feature usage and engagement data for the 90 days before churn. Here is my reasoning: pricing changes would typically show up as churn spikes at renewal dates, and the client mentioned churn is steady across months, which makes a pricing trigger less likely. Customer service is worth investigating, but it is usually a symptom of a product issue, not the root cause. So product engagement data would give us the clearest signal on whether customers are disengaging before they leave. As a cross-check, I would also want to see whether churning customers are switching to a specific competitor, which would tell us if there is a feature gap."

Why this works: Explains why other branches are deprioritized using case data. The cross-check shows the candidate is not tunnel-visioned.


Question Type 4: Exhibit or Data Questions

What the interviewer is testing: Can you extract the "so what" from data quickly? Many candidates describe what they see ("revenue went up in Q3") without explaining what it means for the business.

Examples:

  • "What does this chart tell you?"
  • "What is the key takeaway from this table?"

The pattern:

  1. Describe the exhibit setup (axes, timeframe, segments).
  2. State the headline trend in one sentence.
  3. Explain the business implication.
  4. Recommend the next data request.

Practice Exhibit

Here is quarterly revenue data for a B2B software company with two product lines:

QuarterProduct A Revenue ($M)Product B Revenue ($M)Total Revenue ($M)
Q1 2025421860
Q2 2025402262
Q3 2025372764
Q4 2025343266

Question: What is the key insight from this data?

Worked Solution

Strong response: "This table shows quarterly revenue for two product lines over 2025. The headline: total revenue is growing steadily at roughly 3% per quarter, but the composition is shifting dramatically. Product A is declining about $2-3M per quarter while Product B is growing $4-5M per quarter. Product B is picking up more than Product A is losing, which keeps the top line growing.

The business implication depends on relative margins. If Product A has higher margins than Product B, this mix shift could be eroding profitability even though revenue looks healthy on the surface. That is a common pattern in companies that are 'growing into' a lower-margin product.

The next data I would want: gross margin by product line and the customer overlap between products. Specifically, are Product A customers switching to Product B (cannibalization), or is Product B attracting new customers in a different segment?"

Why this works: Identifies the mix shift as the real story, connects it to a profit implication, and requests confirming data. That is the "so what" that interviewers reward. For exhibit-heavy practice, see the BCG case interview guide.


Question Type 5: Quant Questions

What the interviewer is testing: Can you set up the right formula, calculate cleanly under pressure, and sanity-check the result? A clean, narrated calculation that takes 90 seconds beats a silent, error-prone attempt that takes 45.

Examples:

  • "If price increases by 8%, how much volume can we lose and keep revenue flat?"
  • "Estimate the market size for this product."
  • "What is the break-even volume?"

The pattern:

  • Write the formula first, before touching numbers.
  • State units explicitly.
  • Calculate cleanly, narrating as you go.
  • Sanity-check the result.

Worked Solution: Price-Volume Break-Even

Prompt: "If our client raises prices by 8%, how much volume can they afford to lose while keeping total revenue flat?"

Setup: Revenue = Price x Volume. Let's call current price P and current volume V. So current revenue R = P x V.

New price: After an 8% increase, new price = 1.08 x P.

Question reframed: What new volume (V_new) gives us the same revenue?

Calculation:

R = 1.08P x V_new

Since R also equals P x V:

P x V = 1.08P x V_new

Divide both sides by P:

V = 1.08 x V_new

V_new = V / 1.08

V_new = 0.926V

Answer: The client can lose up to 7.4% of volume (1 - 0.926 = 0.074) and still keep revenue flat.

Sanity check: This makes intuitive sense. An 8% price increase is partially offset by some volume loss. The break-even volume loss (7.4%) is slightly less than the price increase (8%), which is correct because the percentage math is multiplicative, not additive.

For more quant practice, see market sizing step-by-step, mental math for case interviews, and case interview math practice drills.


Question Type 6: Recommendation Questions

What the interviewer is testing: Can you synthesize everything into a clear, defensible decision? This is the "partner test." Would a senior partner be comfortable putting this recommendation in front of a client CEO?

Examples:

  • "What should the client do?"
  • "Please summarize your recommendation."
  • "We have 2 minutes left. What is your answer?"

The pattern:

  1. Lead with the recommendation (not the process).
  2. Support with 2 to 3 specific reasons.
  3. Flag the main risk.
  4. State the immediate next step.

Worked Solution

Prompt: You have been working through a case about a regional hospital system considering whether to acquire a competing hospital. Your analysis shows the acquisition would add $45M in revenue, create $12M in cost synergies through combined purchasing and shared back-office, but requires $120M upfront and carries integration risk. The interviewer asks: "What should the client do?"

Strong response: "I would recommend the client proceed with the acquisition, but with a phased integration plan. Three reasons. First, the combined synergies of $12M annually represent a 10% return on the $120M investment, which meets the client's 8% hurdle rate. Second, the $45M in added revenue diversifies the client's payer mix, reducing dependence on their current 60% Medicare exposure. Third, the competitive alternative is worse: if a national chain acquires this hospital instead, the client faces a well-funded competitor in their core market.

The main risk is integration. Hospital mergers have a 40% failure rate on synergy capture, primarily due to physician retention and IT system conflicts. I would mitigate this by structuring the first 12 months around the low-risk synergies, purchasing and back-office, and deferring clinical integration to year two.

The immediate next step is engaging the target's medical staff leadership to assess retention risk before signing the LOI."

Why this works: Recommendation leads. Reasons are quantified. The risk includes a mitigation plan. The next step is concrete and actionable. For synthesis, see case interview synthesis.


Fast Practice Set (10 Questions)

Set a 60-second timer per question and answer out loud — silent thinking does not build the articulation muscle interviews require.

  1. What objective are we optimizing for? (Clarifying)
  2. How would you structure this problem? (Structure)
  3. Which branch is highest priority and why? (Prioritization)
  4. What hypothesis would you test first? (Prioritization)
  5. What is the key insight from this chart? (Exhibit)
  6. What calculation do you need to do next? (Quant)
  7. Is this market attractive enough to enter? (Structure + Recommendation)
  8. What is the biggest risk in your recommendation? (Recommendation)
  9. What would you do in the first 90 days? (Recommendation)
  10. Can you summarize your recommendation in 60 seconds? (Recommendation)

For a complete set of case prompts to practice with, see case interview examples. To build a full prep schedule, read consulting interview prep timeline.


Common Errors (and How to Fix Them)

1. Asking too many clarifying questions

More than 4 questions, or a clarifying phase exceeding 60 seconds, signals you are compensating for not knowing how to structure. Fix: Before each clarifying question, ask: "Would a different answer change my framework?" If not, skip it.

2. Giving a broad structure with no prioritization

"I would look at revenue, costs, competition, and the market." Four branches, no prioritization, no hypothesis. Fix: After laying out your branches, immediately say which one you would investigate first and why. See how to structure a case interview.

3. Describing data without stating the implication

"Revenue went up in Q3 and Q4, and Product B is growing faster than Product A." That is a description, not an insight. Fix: Always follow a data observation with "which means" or "which suggests." Connect the data to a business decision.

4. Doing math without units or formula

Jumping straight to multiplication without stating what you are calculating or what the units are. Fix: Write the formula before you calculate. State units after every number. For practice, see mental math for case interviews.

5. Closing without an explicit recommendation

"So in conclusion, there are several factors to consider, and the client should think about their options." That is a summary, not a recommendation. Fix: Start your close with "I recommend..." or "The client should..." followed by a specific action. A qualified recommendation beats a non-answer every time.


Interactive Drills


Knowledge Check

Test yourself

Question 1 of 4

You have laid out a 4-branch framework. The interviewer asks 'Where would you start?' What is the strongest type of response?


Sources and Further Reading

FAQ

Frequently asked questions

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